Papers
17
Total Citations
181
H-Index
7
About
Irina Kostitsyna is a leading researcher in algorithmic robotics and programmable matter, whose work bridges theoretical computer science and practical autonomous systems. Her research focuses on developing algorithms for mobile robots operating under severe constraints—such as limited energy, finite-state control, and restricted visibility—and on designing self-reconfiguring metamaterials. Her most cited work, "Ultralight, strong, and self-reprogrammable mechanical metamaterials" (2024, 77 citations), introduces a robotic structural system that can autonomously reconfigure itself, with transformative potential for adaptive infrastructure, space exploration, and disaster response. She has made foundational contributions to shape formation and recognition by simple robots, including a finite automaton robot that can detect geometric shapes in hexagonal tile structures (2018, 14 citations). Her cross-model analysis of energy-constrained robots (2022, 11 citations) and work on bounded asynchrony for convergence (2024, 6 citations) further advance the theoretical landscape of distributed robotics. Kostitsyna’s research is notable for its clarity and impact, offering elegant solutions to fundamental problems in multi-robot coordination and programmable matter, and inspiring future work in autonomous systems and nanoscale computing.
Research Focus
Key Achievements
Top Papers
- 1Ultralight, strong, and self-reprogrammable mechanical metamaterials77 citations · 2024
- 2Forming tile shapes with simple robots24 citations · 2019
- 3Shape Recognition by a Finite Automaton Robot14 citations · 2018
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- 5Forming Tile Shapes with Simple Robots9 citations · 2018
- 6Autonomous Mobile Robots: Refining the Computational Landscape9 citations · 2021
- 7Forming tile shapes with a single robot7 citations · 2017
- 8
- 9Unlabeled Multi-Robot Motion Planning with Tighter Separation Bounds4 citations · 2022
- 10